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Neural Computing and Applications
Erschienen in: Neural Computing and Applications 1/2015

01.01.2015 | Original Article

Artificial neural network for steganography

verfasst von: Sabah Husien, Haitham Badi

Erschienen in: Neural Computing and Applications | Ausgabe 1/2015

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Abstract

The digital information revolution has brought about changes in our society and our lives. The many advantages of digital information have also generated new challenges and new opportunities for innovation. The strength of the information hiding science is due to the nonexistence of standard algorithms to be used in hiding secret message. Also, there is randomness in hiding method such as combining several media (covers) with different methods to pass secret message. Information hiding represents a class of process used to embed data into various forms of media such as image, audio, or text. The proposed text in image cryptography and steganography system (TICSS) is an approach used to embed text into gray image (BMP). TICSS is easily applied by any end user.
Vorheriger Artikel Correlation consistency constrained matrix completion for web service tag refinement
Nächster Artikel Data mining-based integrated network traffic visualization framework for threat detection

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Metadaten
Titel
Artificial neural network for steganography
verfasst von
Sabah Husien
Haitham Badi
Publikationsdatum
01.01.2015
Verlag
Springer London
Erschienen in
Neural Computing and Applications / Ausgabe 1/2015
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-014-1702-1

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